✽ Machine Learning: An Applied Mathematics Introduction kindle Epub ❁ Autor Paul Wilmott – Andy-palmer.co.uk
Great read and good overview. A Fully Self Contained Introduction To Machine Learning All That The Reader Requires Is An Understanding Of The Basics Of Matrix Algebra And Calculus Machine Learning An Applied Mathematics Introduction Covers The Essential Mathematics Behind All Of The Most Important TechniquesChapter List Introduction Putting ML Into Context Comparing And Contrasting With Classical Mathematical And Statistical Modelling General Matters In One Chapter All Of The Mathematical Concepts You Ll Need To Know From Jargon And Notation To Maximum Likelihood, From Information Theory And Entropy To Bias And Variance, From Cost Functions To Confusion Matrices, And K Nearest Neighbours K Means ClusteringNa Ve Bayes ClassifierRegression MethodsSupport Vector MachinesSelf Organizing MapsDecision TreesNeural NetworksReinforcement LearningAn Appendix Contains Links To Data Used In The Book, AndThe Book Includes Many Real World Examples From A Variety Of Fields Includingfinance Volatility Modelling Economics Interest Rates, Inflation And GDP Politics Classifying Politicians According To Their Voting Records, And Using Speeches To Determine Whether A Politician Is Left Or Right Wing Biology Recognising Flower Varieties, And Using Heights And Weights Of Adultsto Determine Gender Sociology Classifying Locations According To Crime Statistics Gambling Fruit Machines And Blackjack Business Classifying The Members Of His Own Website To See Who Will Subscribe To His Magazine Paul Wilmott Brings Three Decades Of Experience In Education, And His Inimitable Style, To This, The Hottest Of Subjects This Book Is An Accessible Introduction For Anyone Who Wants To Understand The Foundations And Put The Tools Into PracticePaul Wilmott Has Been Called Cult Derivatives Lecturer By The Financial Times And Financial Mathematics Guru By The BBC When I started out, I ran several trading desks on the financial futures floors at the CME and CBOT Fundamental and technical analysis were all that existed I found that the only way to learn the quantitative aspect of the markets circa 1983 was by walking around the exchange floors right after the close, picking up research strategy papers off the floor near the most quantitatively oriented firms Fortunately for us, books authored by Dr Wilmott and others like him have shed a light into the math, minds, and methodology of one of the most interesting areas of global markets. I would love to buy an electronic version. Great resource It s like talking to someone one who is just giving you the simple straight answer to what s going on This book s tone and depth is between the buzz word laden intro to machine learning books for business people and the too much math for non majors textbooks that focus a specific type of machine learning.With that said I use it to gain an intuition and the first layers of mathematical depth to each ML algorithm I believe that this does not replace a textbook but of a straightforward companion Highly recommend. Great book on intuition behind broad spectrum of Machine Learning approaches, full of practical examples In fact, it is the only book aside from the Elements of Statistical Learning that I would recommend and own It is in strike contrast to the plethora of ML books on the market that are either too math heavy with little practical examples, or just show you how to apply python or R packages.Finally, entertaining value of this book should not be overlooked, not P G Wodehouse but close.